CVE-2026-31239

State
Published
Severity
9.8 Critical
Published
May 12, 2026
Updated
May 14, 2026
Reserved
Mar 9, 2026

Read the record on cve.org

Description

The mamba language model framework thru 2.2.6 is vulnerable to insecure deserialization (CWE-502) when loading pre-trained models from HuggingFace Hub. The MambaLMHeadModel.from_pretrained() method uses torch.load() to load the pytorch_model.bin weight file without enabling the security-restrictive weights_only=True parameter. This allows the deserialization of arbitrary Python objects via the pickle module. An attacker can exploit this by publishing a malicious model repository on HuggingFace Hub. When a victim loads a model from this repository, arbitrary code is executed on the victim's system in the context of the mamba process.

Scores

CVSSScoreVectorSource
3.19.8 CriticalCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:HCISA-ADP

Weaknesses

  • CWE-502 Deserialization of Untrusted Data

Affected Products

ProductVersions
n/an/a
  • n/aAffected

References

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